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AI for Business Analysts: Automate, Analyze, Deliver
Rating: 4.5 out of 5(44 ratings)
145 students

AI for Business Analysts: Automate, Analyze, Deliver

Master AI-driven business analysis: requirements, processes, stories & decisions with 40+ ready to use templates
Created byArno Esterhuizen
Last updated 4/2026
English

What you'll learn

  • Use GenAI to accelerate requirements analysis, process modelling, and user story creation.
  • Apply AI-driven workflows to produce clear, accurate BA deliverables faster.
  • Collaborate with AI tools to improve decision-making, validation, and stakeholder communication.
  • Build and refine an AI-powered BA toolkit with prompts, templates, and structured methods.

Course content

12 sections • 48 lectures • 3h 10m total length

  • Welcome & What You’ll Learn2:05

    Introduce the course, outcomes, and how learners will work with GenAI tools throughout.

  • How GenAI Changes the BA Role4:16

    Overview of how AI is transforming BA activities, skills, and future career paths.

  • AI Tools available to BA’s4:54

    Walkthrough of ChatGPT, Claude, Gemini, Copilot, and Now Assist for BA tasks.

  • Download Your Course Materials, Templates & Toolkits1:43

    1. Workshop Preparation Kit (Section 4)

    Related Lesson: 4.1 Preparing for Workshops Using AI

    • Workshop Agenda Template (Word)

    • Tailored Elicitation Question Set (PDF)

    • Stakeholder Talking Points Template (Word)

    • Pre-Read Summary Template (Word)

    • Bonus: Elicitation Question Bank segmented by domain & stakeholder type

    2. Process & Root Cause Analysis Toolkit (Section 5)

    Related Lesson: 5.5 AI for Process Analysis + AI for Root Cause Analysis lessons

    • Process Analysis Prompt Pack (PDF)

    • AS-IS / TO-BE Process Mapping Template (Lucidchart + Miro + Word)

    • 5 Whys Worksheet (PDF)

    • Fishbone Diagram Template (Excel)

    • Process Inefficiency Validation Checklist (PDF)

    3. User Stories & Test Case Toolkit (Section 6)

    Related Lesson: 6.3 AI for Test Case Generation + Drafting User Stories / Acceptance Criteria with AI + Demo: End-to-End Story Creation

    • INVEST User Story Template (Excel + Word)

    • Gherkin Acceptance Criteria Template (Word)

    • Test Case Template — ID / Description / Preconditions / Steps / Expected Result (Excel)

    • Test Case Generation Prompt Pack (PDF)

    • End-to-End Story → AC → Test Case Workflow Map (PDF)

    4. KPI & Data Analysis Toolkit (Section 7)

    Related Lesson: 7.1 Preparing Data for AI + 7.3 AI for KPI Design + Demo: Data → Insights

    • Data Preparation Checklist — Clean → Structure → Label → Context (PDF)

    • KPI Design Canvas — Goal → KPI → Formula → Target → Data Source (Excel + PDF)

    • KPI Library by Category — Operational / CX / ITSM / Financial / Process Efficiency (Excel)

    • Data → Insights Prompt Pack (PDF)

    • Trend & Anomaly Detection Prompt Set (PDF)

    5. BA Deliverables Toolkit (Section 8)

    Related Lesson: 8.1 Business Cases + 8.3 RACI + 8.4 BRD Demo

    • BRD Template — full 11-section structure (Word + Google Docs)

    • Business Case Pyramid Template (Word + PowerPoint)

    • RACI Matrix Template (Excel)

    • Impact Analysis Template — People / Process / Tech / Data (Excel)

    • Demo Prompt Walkthrough Cards — one per Section 8 demo (PDF)

    • BRD Validation Checklist (PDF)

    6. Stakeholder & Communication Toolkit (Section 9)

    Related Lesson: 9.1 Stakeholder Mapping + 9.2 Professional Communication + Stakeholder Role-Play with AI + Demo: Stakeholder Plan

    • Power–Interest Grid Template (Excel + PDF)

    • Stakeholder Register Template — Name / Role / Group / Interest / Influence / Concerns / Comms Plan (Excel)

    • Stakeholder Role-Play Prompt Pack (PDF)

    • Communication Pyramid Template (Word)

    • Tone Calibration Prompt Set (PDF)

    • Email / Weekly Update / Meeting Summary Templates (Word — 3 variants)

    7. Agile AI Toolkit (Section 10)

    Related Lesson: 10.1 AI for Agile Projects + Backlog Management with AI

    • Agile AI Prompt Pack — INVEST rewrite, Gherkin AC, dependency analysis, retro summary, stand-up summary (PDF)

    • Backlog Refinement Worksheet — gaps / dependencies / risk / DoR check (Excel)

    • Sprint Ceremony AI Playbook — where AI helps in each ceremony (PDF)

    • Definition of Ready Checklist (PDF)

    8. Governance, Risk & Compliance Toolkit (Section 11)

    Related Lesson: 11.3 AI for Governance & Compliance

    • Risk Log Template (Excel)

    • Risk Heatmap Template (Excel)

    • Compliance Mapping Template — regulation → control → process (Excel)

    • RACI for Controls Template (Excel)

    • Audit Evidence Summary Template (Word)

    • Regulation Interpretation Prompt Pack — PCI-DSS / ISO 27001 / NIST CSF starter prompts (PDF)

Requirements

  • Basics of Business Analysis

Description

The role of the Business Analyst is changing rapidly, and those who learn to harness Generative AI are gaining a powerful advantage.

This course teaches you how to become an AI-powered Business Analyst, using practical, real-world workflows that dramatically speed up your work, improve clarity, and enhance the quality of every BA deliverable you create.

Across this hands-on course, you’ll learn how to use AI to analyse complex problems, generate clear requirements, create professional user stories, model processes, design acceptance criteria, support decision-making, and even produce full documentation packs. You’ll discover structured prompting methods, multi-step workflows and reusable templates that transform the way you approach Business Analysis.

You won’t just learn the theory,  you’ll apply everything through a comprehensive capstone project based on a realistic enterprise scenario. By the end, you’ll have a complete portfolio-ready requirements pack, including a BRD-style document, AS-IS and TO-BE processes, user stories, acceptance criteria, risks, and impacts.

Whether you’re an experienced BA, a Product Owner, a Scrum Master, a consultant, or someone transitioning into the field, this course gives you the skills, prompts, templates, and workflows you need to stay ahead in the AI era.

If you want to work faster, think clearer, and deliver higher-quality BA outcomes using AI, this course will show you exactly how.

Who this course is for:

  • Business Analysts wanting to enhance their skills with AI-powered workflows.
  • Aspiring BAs looking for practical, job-ready techniques using GenAI.
  • Product Owners & Scrum Masters who need faster, clearer requirements and backlog refinement.
  • Project Managers & Delivery Leads wanting to improve analysis quality and speed using AI.
  • Consultants & Analysts in IT, ServiceNow, SAP, or Cloud seeking AI-enabled documentation and analysis methods.
  • Business professionals who create requirements, processes, or stories and want to automate their BA tasks.
  • Anyone transitioning into a BA role who wants a modern, AI-first approach to Business Analysis.

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